Pandas Profiling Report

Dataset statistics

Number of variables	19
Number of observations	800
Missing cells	13
Missing cells (%)	0.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	157.3 KiB
Average record size in memory	201.3 B

Variable types

Numeric	8
Categorical	9
Boolean	2

Alerts

`Name` has a high cardinality: 799 distinct values	High cardinality
`Checkup` is highly overall correlated with `Disease`	High correlation
`Disease` is highly overall correlated with `Checkup` and 3 other fields	High correlation
`Height` is highly overall correlated with `Weight`	High correlation
`Weight` is highly overall correlated with `Height`	High correlation
`Diabetes` is highly overall correlated with `Exercise` and 1 other fields	High correlation
`Mental_Health` is highly overall correlated with `Disease`	High correlation
`Physical_Health` is highly overall correlated with `Drinking_Habit`	High correlation
`Exercise` is highly overall correlated with `Diabetes` and 1 other fields	High correlation
`Drinking_Habit` is highly overall correlated with `Physical_Health`	High correlation
`Education` has 13 (1.6%) missing values	Missing
`Name` is uniformly distributed	Uniform
`PatientID` has unique values	Unique
`Physical_Health` has 311 (38.9%) zeros	Zeros

Reproduction

Analysis started	2022-12-17 15:54:27.783062
Analysis finished	2022-12-17 15:54:33.497049
Duration	5.71 seconds
Software version	pandas-profiling vdev
Download configuration	config.json

PatientID
Real number (ℝ)

Distinct	800
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1513.9987

Minimum	1001
Maximum	2024
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	44.8 KiB

Quantile statistics

Minimum	1001
5-th percentile	1050.95
Q1	1247.5
median	1519.5
Q3	1777.25
95-th percentile	1979.05
Maximum	2024
Range	1023
Interquartile range (IQR)	529.75

Descriptive statistics

Standard deviation	300.87463
Coefficient of variation (CV)	0.19872845
Kurtosis	-1.235007
Mean	1513.9987
Median Absolute Deviation (MAD)	265
Skewness	-0.0063300739
Sum	1211199
Variance	90525.543
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1167	1	0.1%
1879	1	0.1%
1780	1	0.1%
1237	1	0.1%
1656	1	0.1%
1222	1	0.1%
1543	1	0.1%
2015	1	0.1%
1845	1	0.1%
1855	1	0.1%
Other values (790)	790	98.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1001	1	0.1%
1003	1	0.1%
1004	1	0.1%
1005	1	0.1%
1006	1	0.1%
1008	1	0.1%
1009	1	0.1%
1010	1	0.1%
1011	1	0.1%
1012	1	0.1%

Value	Count	Frequency (%)
2024	1	0.1%
2023	1	0.1%
2022	1	0.1%
2020	1	0.1%
2019	1	0.1%
2018	1	0.1%
2017	1	0.1%
2016	1	0.1%
2015	1	0.1%
2014	1	0.1%

Name
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	799
Distinct (%)	99.9%
Missing	0
Missing (%)	0.0%
Memory size	44.8 KiB

Mr. Gary Miller	2
Mrs. Stephanie Gay	1
Mr. Roger Rudd	1
Mr. Vito Ertz	1
Mrs. Marilyn Miller	1
Other values (794)	794

Length

Max length	25
Median length	23
Mean length	17.39375
Min length	11

Characters and Unicode

Total characters	13915
Distinct characters	54
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	798 ?
Unique (%)	99.8%

Sample

1st row	Mrs. Stephanie Gay
2nd row	Mr. Sherman Nero
3rd row	Mr. Mark Boller
4th row	Mr. David Caffee
5th row	Mr. Gerald Emery

Common Values

Value	Count	Frequency (%)
Mr. Gary Miller	2	0.2%
Mrs. Stephanie Gay	1	0.1%
Mr. Roger Rudd	1	0.1%
Mr. Vito Ertz	1	0.1%
Mrs. Marilyn Miller	1	0.1%
Mr. David Hench	1	0.1%
Mr. Blair Simmons	1	0.1%
Mr. James Luna	1	0.1%
Mr. Irwin Mcclure	1	0.1%
Mr. Todd Doster	1	0.1%
Other values (789)	789	98.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
mr	564	23.5%
mrs	236	9.8%
michael	23	1.0%
james	22	0.9%
robert	20	0.8%
john	19	0.8%
david	16	0.7%
richard	15	0.6%
william	12	0.5%
timothy	11	0.5%
Other values (1028)	1462	60.9%

Most occurring characters

Value	Count	Frequency (%)
	1600	11.5%
r	1556	11.2%
e	983	7.1%
M	973	7.0%
a	925	6.6%
.	800	5.7%
n	718	5.2%
s	645	4.6%
i	616	4.4%
o	612	4.4%
Other values (44)	4487	32.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9115	65.5%
Uppercase Letter	2400	17.2%
Space Separator	1600	11.5%
Other Punctuation	800	5.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	1556	17.1%
e	983	10.8%
a	925	10.1%
n	718	7.9%
s	645	7.1%
i	616	6.8%
o	612	6.7%
l	607	6.7%
t	353	3.9%
h	319	3.5%
Other values (16)	1781	19.5%

Uppercase Letter

Value	Count	Frequency (%)
M	973	40.5%
J	136	5.7%
C	125	5.2%
R	123	5.1%
B	103	4.3%
S	101	4.2%
D	94	3.9%
L	86	3.6%
A	75	3.1%
W	74	3.1%
Other values (16)	510	21.2%

Space Separator

Value	Count	Frequency (%)
	1600	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	800	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11515	82.8%
Common	2400	17.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	1556	13.5%
e	983	8.5%
M	973	8.4%
a	925	8.0%
n	718	6.2%
s	645	5.6%
i	616	5.3%
o	612	5.3%
l	607	5.3%
t	353	3.1%
Other values (42)	3527	30.6%

Common

Value	Count	Frequency (%)
	1600	66.7%
.	800	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13915	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1600	11.5%
r	1556	11.2%
e	983	7.1%
M	973	7.0%
a	925	6.6%
.	800	5.7%
n	718	5.2%
s	645	4.6%
i	616	4.4%
o	612	4.4%
Other values (44)	4487	32.2%

Birth_Year
Real number (ℝ)

Distinct	50
Distinct (%)	6.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1966.0438

Minimum	1855
Maximum	1993
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	44.8 KiB

Quantile statistics

Minimum	1855
5-th percentile	1953
Q1	1961
median	1966
Q3	1974
95-th percentile	1982.05
Maximum	1993
Range	138
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	15.421872
Coefficient of variation (CV)	0.0078441142
Kurtosis	26.559098
Mean	1966.0438
Median Absolute Deviation (MAD)	6
Skewness	-4.2088125
Sum	1572835
Variance	237.83413
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1964	57	7.1%
1965	47	5.9%
1963	38	4.8%
1968	37	4.6%
1970	31	3.9%
1966	31	3.9%
1971	31	3.9%
1960	29	3.6%
1962	29	3.6%
1958	27	3.4%
Other values (40)	443	55.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1855	1	0.1%
1859	3	0.4%
1860	1	0.1%
1864	2	0.2%
1866	1	0.1%
1867	1	0.1%
1869	1	0.1%
1870	1	0.1%
1881	1	0.1%
1945	1	0.1%

Value	Count	Frequency (%)
1993	4	0.5%
1988	4	0.5%
1987	12	1.5%
1985	2	0.2%
1984	9	1.1%
1983	9	1.1%
1982	7	0.9%
1981	25	3.1%
1980	22	2.8%
1979	22	2.8%

Region
Categorical

Distinct	10
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Memory size	44.8 KiB

East Midlands	154
London	136
South West	107
West Midlands	89
South East	84
Other values (5)	230

Length

Max length	24
Median length	15
Mean length	11.82625
Min length	6

Characters and Unicode

Total characters	9461
Distinct characters	28
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	London
2nd row	South West
3rd row	Yorkshire and the Humber
4th row	London
5th row	South East

Common Values

Value	Count	Frequency (%)
East Midlands	154	19.2%
London	136	17.0%
South West	107	13.4%
West Midlands	89	11.1%
South East	84	10.5%
East of England	80	10.0%
Yorkshire and the Humber	64	8.0%
North West	59	7.4%
North East	22	2.8%
LONDON	5	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
east	340	20.4%
west	255	15.3%
midlands	243	14.6%
south	191	11.5%
london	141	8.5%
north	81	4.9%
of	80	4.8%
england	80	4.8%
yorkshire	64	3.8%
and	64	3.8%
Other values (2)	128	7.7%

Most occurring characters

Value	Count	Frequency (%)
t	931	9.8%
s	902	9.5%
	867	9.2%
d	766	8.1%
n	739	7.8%
a	727	7.7%
o	688	7.3%
e	447	4.7%
E	420	4.4%
h	400	4.2%
Other values (18)	2574	27.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	7110	75.2%
Uppercase Letter	1484	15.7%
Space Separator	867	9.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	931	13.1%
s	902	12.7%
d	766	10.8%
n	739	10.4%
a	727	10.2%
o	688	9.7%
e	447	6.3%
h	400	5.6%
l	323	4.5%
i	307	4.3%
Other values (7)	880	12.4%

Uppercase Letter

Value	Count	Frequency (%)
E	420	28.3%
W	255	17.2%
M	243	16.4%
S	191	12.9%
L	141	9.5%
N	91	6.1%
Y	64	4.3%
H	64	4.3%
O	10	0.7%
D	5	0.3%

Space Separator

Value	Count	Frequency (%)
	867	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8594	90.8%
Common	867	9.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	931	10.8%
s	902	10.5%
d	766	8.9%
n	739	8.6%
a	727	8.5%
o	688	8.0%
e	447	5.2%
E	420	4.9%
h	400	4.7%
l	323	3.8%
Other values (17)	2251	26.2%

Common

Value	Count	Frequency (%)
	867	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9461	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	931	9.8%
s	902	9.5%
	867	9.2%
d	766	8.1%
n	739	7.8%
a	727	7.7%
o	688	7.3%
e	447	4.7%
E	420	4.4%
h	400	4.2%
Other values (18)	2574	27.2%

Education
Categorical

Distinct	6
Distinct (%)	0.8%
Missing	13
Missing (%)	1.6%
Memory size	44.8 KiB

University Complete (3 or more years)	239
High School Graduate	196
Elementary School (1st to 9th grade)	183
High School Incomplete (10th to 11th grade)	102
University Incomplete (1 to 2 years)	37

Length

Max length	43
Median length	37
Mean length	33.035578
Min length	20

Characters and Unicode

Total characters	25999
Distinct characters	35
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	High School Incomplete (10th to 11th grade)
2nd row	High School Incomplete (10th to 11th grade)
3rd row	Elementary School (1st to 9th grade)
4th row	University Complete (3 or more years)
5th row	University Incomplete (1 to 2 years)

Common Values

Value	Count	Frequency (%)
University Complete (3 or more years)	239	29.9%
High School Graduate	196	24.5%
Elementary School (1st to 9th grade)	183	22.9%
High School Incomplete (10th to 11th grade)	102	12.8%
University Incomplete (1 to 2 years)	37	4.6%
I never attended school / Other	30	3.8%
(Missing)	13	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
school	511	12.1%
to	322	7.6%
high	298	7.0%
grade	285	6.7%
university	276	6.5%
years	276	6.5%
3	239	5.6%
or	239	5.6%
more	239	5.6%
complete	239	5.6%
Other values (14)	1312	31.0%

Most occurring characters

Value	Count	Frequency (%)
	3449	13.3%
e	2544	9.8%
o	2200	8.5%
t	2015	7.8%
r	1754	6.7%
h	1226	4.7%
a	1166	4.5%
l	1072	4.1%
i	850	3.3%
m	800	3.1%
Other values (25)	8923	34.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	18439	70.9%
Space Separator	3449	13.3%
Uppercase Letter	1872	7.2%
Decimal Number	1087	4.2%
Open Punctuation	561	2.2%
Close Punctuation	561	2.2%
Other Punctuation	30	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2544	13.8%
o	2200	11.9%
t	2015	10.9%
r	1754	9.5%
h	1226	6.6%
a	1166	6.3%
l	1072	5.8%
i	850	4.6%
m	800	4.3%
s	765	4.1%
Other values (8)	4047	21.9%

Uppercase Letter

Value	Count	Frequency (%)
S	481	25.7%
H	298	15.9%
U	276	14.7%
C	239	12.8%
G	196	10.5%
E	183	9.8%
I	169	9.0%
O	30	1.6%

Decimal Number

Value	Count	Frequency (%)
1	526	48.4%
3	239	22.0%
9	183	16.8%
0	102	9.4%
2	37	3.4%

Space Separator

Value	Count	Frequency (%)
	3449	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	561	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	561	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	30	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	20311	78.1%
Common	5688	21.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2544	12.5%
o	2200	10.8%
t	2015	9.9%
r	1754	8.6%
h	1226	6.0%
a	1166	5.7%
l	1072	5.3%
i	850	4.2%
m	800	3.9%
s	765	3.8%
Other values (16)	5919	29.1%

Common

Value	Count	Frequency (%)
	3449	60.6%
(	561	9.9%
)	561	9.9%
1	526	9.2%
3	239	4.2%
9	183	3.2%
0	102	1.8%
2	37	0.7%
/	30	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	25999	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	3449	13.3%
e	2544	9.8%
o	2200	8.5%
t	2015	7.8%
r	1754	6.7%
h	1226	4.7%
a	1166	4.5%
l	1072	4.1%
i	850	3.3%
m	800	3.1%
Other values (25)	8923	34.3%

Height
Real number (ℝ)

Distinct	15
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	167.80625

Minimum	151
Maximum	180
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	44.8 KiB

Quantile statistics

Minimum	151
5-th percentile	154
Q1	162
median	167
Q3	173
95-th percentile	180
Maximum	180
Range	29
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	7.9768885
Coefficient of variation (CV)	0.047536301
Kurtosis	-0.88631625
Mean	167.80625
Median Absolute Deviation (MAD)	6
Skewness	-0.33443479
Sum	134245
Variance	63.630749
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
167	98	12.2%
172	81	10.1%
178	74	9.2%
162	69	8.6%
174	66	8.2%
173	61	7.6%
180	57	7.1%
171	56	7.0%
157	51	6.4%
165	45	5.6%
Other values (5)	142	17.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
151	21	2.6%
154	26	3.2%
155	31	3.9%
157	51	6.4%
158	39	4.9%
162	69	8.6%
165	45	5.6%
166	25	3.1%
167	98	12.2%
171	56	7.0%

Value	Count	Frequency (%)
180	57	7.1%
178	74	9.2%
174	66	8.2%
173	61	7.6%
172	81	10.1%
171	56	7.0%
167	98	12.2%
166	25	3.1%
165	45	5.6%
162	69	8.6%

Weight
Real number (ℝ)

Distinct	56
Distinct (%)	7.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	67.8275

Minimum	40
Maximum	97
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	44.8 KiB

Quantile statistics

Minimum	40
5-th percentile	49
Q1	58
median	68
Q3	77
95-th percentile	88
Maximum	97
Range	57
Interquartile range (IQR)	19

Descriptive statistics

Standard deviation	12.11347
Coefficient of variation (CV)	0.17859232
Kurtosis	-0.72390191
Mean	67.8275
Median Absolute Deviation (MAD)	9
Skewness	0.12617779
Sum	54262
Variance	146.73616
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
70	32	4.0%
59	29	3.6%
72	26	3.2%
71	26	3.2%
61	26	3.2%
67	24	3.0%
56	24	3.0%
55	23	2.9%
69	23	2.9%
76	22	2.8%
Other values (46)	545	68.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
40	1	0.1%
41	2	0.2%
42	1	0.1%
44	1	0.1%
45	10	1.2%
46	5	0.6%
47	8	1.0%
48	8	1.0%
49	9	1.1%
50	13	1.6%

Value	Count	Frequency (%)
97	3	0.4%
96	4	0.5%
95	2	0.2%
94	1	0.1%
93	4	0.5%
92	4	0.5%
90	6	0.8%
89	9	1.1%
88	12	1.5%
87	14	1.8%

Checkup
Categorical

Distinct	4
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	44.8 KiB

More than 3 years	429
Not sure	312
Less than 3 years but more than 1 year	53
Less than three months	6

Length

Max length	38
Median length	17
Mean length	14.91875
Min length	8

Characters and Unicode

Total characters	11935
Distinct characters	18
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	More than 3 years
2nd row	Not sure
3rd row	More than 3 years
4th row	Not sure
5th row	More than 3 years

Common Values

Value	Count	Frequency (%)
More than 3 years	429	53.6%
Not sure	312	39.0%
Less than 3 years but more than 1 year	53	6.6%
Less than three months	6	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
than	541	19.0%
more	482	17.0%
3	482	17.0%
years	482	17.0%
not	312	11.0%
sure	312	11.0%
less	59	2.1%
but	53	1.9%
1	53	1.9%
year	53	1.9%
Other values (2)	12	0.4%

Most occurring characters

Value	Count	Frequency (%)
	2041	17.1%
e	1400	11.7%
r	1335	11.2%
a	1076	9.0%
s	918	7.7%
t	918	7.7%
o	800	6.7%
h	553	4.6%
n	547	4.6%
y	535	4.5%
Other values (8)	1812	15.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8559	71.7%
Space Separator	2041	17.1%
Uppercase Letter	800	6.7%
Decimal Number	535	4.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1400	16.4%
r	1335	15.6%
a	1076	12.6%
s	918	10.7%
t	918	10.7%
o	800	9.3%
h	553	6.5%
n	547	6.4%
y	535	6.3%
u	365	4.3%
Other values (2)	112	1.3%

Uppercase Letter

Value	Count	Frequency (%)
M	429	53.6%
N	312	39.0%
L	59	7.4%

Decimal Number

Value	Count	Frequency (%)
3	482	90.1%
1	53	9.9%

Space Separator

Value	Count	Frequency (%)
	2041	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	9359	78.4%
Common	2576	21.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1400	15.0%
r	1335	14.3%
a	1076	11.5%
s	918	9.8%
t	918	9.8%
o	800	8.5%
h	553	5.9%
n	547	5.8%
y	535	5.7%
M	429	4.6%
Other values (5)	848	9.1%

Common

Value	Count	Frequency (%)
	2041	79.2%
3	482	18.7%
1	53	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11935	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	2041	17.1%
e	1400	11.7%
r	1335	11.2%
a	1076	9.0%
s	918	7.7%
t	918	7.7%
o	800	6.7%
h	553	4.6%
n	547	4.6%
y	535	4.5%
Other values (8)	1812	15.2%

Diabetes
Categorical

Distinct	4
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	44.8 KiB

Neither I nor my immediate family have diabetes.	392
I have/had pregnancy diabetes or borderline diabetes	206
I do have diabetes	144
I don't have diabetes, but I have direct family members who have diabetes.	58

Length

Max length	74
Median length	52
Mean length	45.515
Min length	18

Characters and Unicode

Total characters	36412
Distinct characters	28
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Neither I nor my immediate family have diabetes.
2nd row	Neither I nor my immediate family have diabetes.
3rd row	Neither I nor my immediate family have diabetes.
4th row	I have/had pregnancy diabetes or borderline diabetes
5th row	I have/had pregnancy diabetes or borderline diabetes

Common Values

Value	Count	Frequency (%)
Neither I nor my immediate family have diabetes.	392	49.0%
I have/had pregnancy diabetes or borderline diabetes	206	25.8%
I do have diabetes	144	18.0%
I don't have diabetes, but I have direct family members who have diabetes.	58	7.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
diabetes	1064	18.0%
i	858	14.5%
have	710	12.0%
family	450	7.6%
neither	392	6.6%
nor	392	6.6%
my	392	6.6%
immediate	392	6.6%
or	206	3.5%
borderline	206	3.5%
Other values (8)	846	14.3%

Most occurring characters

Value	Count	Frequency (%)
e	5404	14.8%
	5108	14.0%
a	3234	8.9%
i	2954	8.1%
d	2128	5.8%
t	2022	5.6%
m	1742	4.8%
r	1724	4.7%
h	1572	4.3%
b	1386	3.8%
Other values (18)	9138	25.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	29282	80.4%
Space Separator	5108	14.0%
Uppercase Letter	1250	3.4%
Other Punctuation	772	2.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	5404	18.5%
a	3234	11.0%
i	2954	10.1%
d	2128	7.3%
t	2022	6.9%
m	1742	5.9%
r	1724	5.9%
h	1572	5.4%
b	1386	4.7%
s	1122	3.8%
Other values (11)	5994	20.5%

Other Punctuation

Value	Count	Frequency (%)
.	450	58.3%
/	206	26.7%
'	58	7.5%
,	58	7.5%

Uppercase Letter

Value	Count	Frequency (%)
I	858	68.6%
N	392	31.4%

Space Separator

Value	Count	Frequency (%)
	5108	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	30532	83.9%
Common	5880	16.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	5404	17.7%
a	3234	10.6%
i	2954	9.7%
d	2128	7.0%
t	2022	6.6%
m	1742	5.7%
r	1724	5.6%
h	1572	5.1%
b	1386	4.5%
s	1122	3.7%
Other values (13)	7244	23.7%

Common

Value	Count	Frequency (%)
	5108	86.9%
.	450	7.7%
/	206	3.5%
'	58	1.0%
,	58	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36412	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	5404	14.8%
	5108	14.0%
a	3234	8.9%
i	2954	8.1%
d	2128	5.8%
t	2022	5.6%
m	1742	4.8%
r	1724	4.7%
h	1572	4.3%
b	1386	3.8%
Other values (18)	9138	25.1%

High_Cholesterol
Real number (ℝ)

Distinct	150
Distinct (%)	18.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	249.3225

Minimum	130
Maximum	568
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	44.8 KiB

Quantile statistics

Minimum	130
5-th percentile	179
Q1	213.75
median	244
Q3	280
95-th percentile	329.05
Maximum	568
Range	438
Interquartile range (IQR)	66.25

Descriptive statistics

Standard deviation	51.566631
Coefficient of variation (CV)	0.20682702
Kurtosis	4.9793639
Mean	249.3225
Median Absolute Deviation (MAD)	33
Skewness	1.1678961
Sum	199458
Variance	2659.1174
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
201	17	2.1%
238	16	2.0%
208	16	2.0%
181	13	1.6%
216	13	1.6%
258	13	1.6%
215	12	1.5%
286	11	1.4%
207	11	1.4%
244	11	1.4%
Other values (140)	667	83.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
130	3	0.4%
135	2	0.2%
145	3	0.4%
153	6	0.8%
161	4	0.5%
164	3	0.4%
168	1	0.1%
170	4	0.5%
171	3	0.4%
172	2	0.2%

Value	Count	Frequency (%)
568	3	0.4%
421	2	0.2%
413	2	0.2%
411	2	0.2%
398	2	0.2%
358	3	0.4%
357	3	0.4%
346	4	0.5%
345	3	0.4%
344	2	0.2%

Blood_Pressure
Real number (ℝ)

Distinct	49
Distinct (%)	6.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	131.05375

Minimum	94
Maximum	200
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	44.8 KiB

Quantile statistics

Minimum	94
5-th percentile	108
Q1	120
median	130
Q3	140
95-th percentile	160
Maximum	200
Range	106
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	17.052693
Coefficient of variation (CV)	0.13011984
Kurtosis	1.233682
Mean	131.05375
Median Absolute Deviation (MAD)	10
Skewness	0.78683803
Sum	104843
Variance	290.79435
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=49)

Value	Count	Frequency (%)
120	111	13.9%
130	95	11.9%
140	86	10.8%
110	50	6.2%
150	42	5.2%
138	33	4.1%
128	33	4.1%
125	26	3.2%
132	23	2.9%
112	23	2.9%
Other values (39)	278	34.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
94	3	0.4%
100	13	1.6%
101	3	0.4%
102	5	0.6%
104	2	0.2%
105	7	0.9%
106	3	0.4%
108	15	1.9%
110	50	6.2%
112	23	2.9%

Value	Count	Frequency (%)
200	3	0.4%
192	3	0.4%
180	5	0.6%
178	5	0.6%
174	2	0.2%
172	1	0.1%
170	12	1.5%
165	4	0.5%
164	3	0.4%
160	20	2.5%

Mental_Health
Real number (ℝ)

Distinct	28
Distinct (%)	3.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	17.345

Minimum	0
Maximum	29
Zeros	4
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	44.8 KiB

Quantile statistics

Minimum	0
5-th percentile	8
Q1	13
median	18
Q3	21
95-th percentile	25
Maximum	29
Range	29
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	5.3851392
Coefficient of variation (CV)	0.31047214
Kurtosis	-0.14623242
Mean	17.345
Median Absolute Deviation (MAD)	4
Skewness	-0.51235392
Sum	13876
Variance	28.999725
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
20	81	10.1%
16	68	8.5%
19	65	8.1%
23	59	7.4%
18	56	7.0%
21	52	6.5%
13	49	6.1%
22	49	6.1%
17	36	4.5%
12	33	4.1%
Other values (18)	252	31.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4	0.5%
3	2	0.2%
4	3	0.4%
5	11	1.4%
6	3	0.4%
7	16	2.0%
8	15	1.9%
9	26	3.2%
10	19	2.4%
11	27	3.4%

Value	Count	Frequency (%)
29	4	0.5%
28	6	0.8%
27	4	0.5%
26	12	1.5%
25	24	3.0%
24	31	3.9%
23	59	7.4%
22	49	6.1%
21	52	6.5%
20	81	10.1%

Physical_Health
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	24
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.55875

Minimum	0
Maximum	30
Zeros	311
Zeros (%)	38.9%
Negative	0
Negative (%)	0.0%
Memory size	44.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	3
Q3	7
95-th percentile	16
Maximum	30
Range	30
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	5.4491894
Coefficient of variation (CV)	1.1953253
Kurtosis	1.5741974
Mean	4.55875
Median Absolute Deviation (MAD)	3
Skewness	1.345579
Sum	3647
Variance	29.693666
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
0	311	38.9%
5	53	6.6%
2	51	6.4%
4	51	6.4%
7	40	5.0%
9	38	4.8%
6	36	4.5%
3	34	4.2%
1	30	3.8%
8	27	3.4%
Other values (14)	129	16.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	311	38.9%
1	30	3.8%
2	51	6.4%
3	34	4.2%
4	51	6.4%
5	53	6.6%
6	36	4.5%
7	40	5.0%
8	27	3.4%
9	38	4.8%

Value	Count	Frequency (%)
30	1	0.1%
27	3	0.4%
21	4	0.5%
20	4	0.5%
19	9	1.1%
18	4	0.5%
17	13	1.6%
16	7	0.9%
15	10	1.2%
14	12	1.5%

Exercise
Boolean

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	39.3 KiB

False	536
True	264

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	536	67.0%
True	264	33.0%

Smoking_Habit
Boolean

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	39.3 KiB

False	673
True	127

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	673	84.1%
True	127	15.9%

Drinking_Habit
Categorical

Distinct	3
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	44.8 KiB

I usually consume alcohol every day	406
I consider myself a social drinker	383
I do not consume any type of alcohol	11

Length

Max length	36
Median length	35
Mean length	34.535
Min length	34

Characters and Unicode

Total characters	27628
Distinct characters	21
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	I usually consume alcohol every day
2nd row	I consider myself a social drinker
3rd row	I consider myself a social drinker
4th row	I usually consume alcohol every day
5th row	I consider myself a social drinker

Common Values

Value	Count	Frequency (%)
I usually consume alcohol every day	406	50.7%
I consider myself a social drinker	383	47.9%
I do not consume any type of alcohol	11	1.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
i	800	16.6%
consume	417	8.6%
alcohol	417	8.6%
usually	406	8.4%
every	406	8.4%
day	406	8.4%
consider	383	7.9%
myself	383	7.9%
a	383	7.9%
social	383	7.9%
Other values (6)	438	9.1%

Most occurring characters

Value	Count	Frequency (%)
	4022	14.6%
l	2412	8.7%
e	2389	8.6%
o	2050	7.4%
a	2006	7.3%
s	1972	7.1%
y	1623	5.9%
c	1600	5.8%
r	1555	5.6%
u	1229	4.4%
Other values (11)	6770	24.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	22806	82.5%
Space Separator	4022	14.6%
Uppercase Letter	800	2.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
l	2412	10.6%
e	2389	10.5%
o	2050	9.0%
a	2006	8.8%
s	1972	8.6%
y	1623	7.1%
c	1600	7.0%
r	1555	6.8%
u	1229	5.4%
n	1205	5.3%
Other values (9)	4765	20.9%

Space Separator

Value	Count	Frequency (%)
	4022	100.0%

Uppercase Letter

Value	Count	Frequency (%)
I	800	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	23606	85.4%
Common	4022	14.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
l	2412	10.2%
e	2389	10.1%
o	2050	8.7%
a	2006	8.5%
s	1972	8.4%
y	1623	6.9%
c	1600	6.8%
r	1555	6.6%
u	1229	5.2%
n	1205	5.1%
Other values (10)	5565	23.6%

Common

Value	Count	Frequency (%)
	4022	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	27628	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	4022	14.6%
l	2412	8.7%
e	2389	8.6%
o	2050	7.4%
a	2006	7.3%
s	1972	7.1%
y	1623	5.9%
c	1600	5.8%
r	1555	5.6%
u	1229	4.4%
Other values (11)	6770	24.5%

Fruit_Habit
Categorical

Distinct	5
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	44.8 KiB

Less than 1. I do not consume fruits every day.	452
1 to 2 pieces of fruit in average	175
3 to 4 pieces of fruit in average	105
5 to 6 pieces of fruit in average	56
More than six pieces of fruit	12

Length

Max length	47
Median length	47
Mean length	40.85
Min length	29

Characters and Unicode

Total characters	32680
Distinct characters	30
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Less than 1. I do not consume fruits every day.
2nd row	Less than 1. I do not consume fruits every day.
3rd row	Less than 1. I do not consume fruits every day.
4th row	Less than 1. I do not consume fruits every day.
5th row	1 to 2 pieces of fruit in average

Common Values

Value	Count	Frequency (%)
Less than 1. I do not consume fruits every day.	452	56.5%
1 to 2 pieces of fruit in average	175	21.9%
3 to 4 pieces of fruit in average	105	13.1%
5 to 6 pieces of fruit in average	56	7.0%
More than six pieces of fruit	12	1.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	627	8.6%
than	464	6.4%
less	452	6.2%
i	452	6.2%
do	452	6.2%
not	452	6.2%
consume	452	6.2%
fruits	452	6.2%
every	452	6.2%
day	452	6.2%
Other values (13)	2573	35.3%

Most occurring characters

Value	Count	Frequency (%)
	6480	19.8%
e	3188	9.8%
s	2168	6.6%
o	2052	6.3%
t	2052	6.3%
n	1704	5.2%
r	1600	4.9%
a	1588	4.9%
i	1496	4.6%
u	1252	3.8%
Other values (20)	9100	27.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	23256	71.2%
Space Separator	6480	19.8%
Decimal Number	1124	3.4%
Uppercase Letter	916	2.8%
Other Punctuation	904	2.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	3188	13.7%
s	2168	9.3%
o	2052	8.8%
t	2052	8.8%
n	1704	7.3%
r	1600	6.9%
a	1588	6.8%
i	1496	6.4%
u	1252	5.4%
f	1148	4.9%
Other values (9)	5008	21.5%

Decimal Number

Value	Count	Frequency (%)
1	627	55.8%
2	175	15.6%
3	105	9.3%
4	105	9.3%
5	56	5.0%
6	56	5.0%

Uppercase Letter

Value	Count	Frequency (%)
L	452	49.3%
I	452	49.3%
M	12	1.3%

Space Separator

Value	Count	Frequency (%)
	6480	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	904	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	24172	74.0%
Common	8508	26.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	3188	13.2%
s	2168	9.0%
o	2052	8.5%
t	2052	8.5%
n	1704	7.0%
r	1600	6.6%
a	1588	6.6%
i	1496	6.2%
u	1252	5.2%
f	1148	4.7%
Other values (12)	5924	24.5%

Common

Value	Count	Frequency (%)
	6480	76.2%
.	904	10.6%
1	627	7.4%
2	175	2.1%
3	105	1.2%
4	105	1.2%
5	56	0.7%
6	56	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	32680	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	6480	19.8%
e	3188	9.8%
s	2168	6.6%
o	2052	6.3%
t	2052	6.3%
n	1704	5.2%
r	1600	4.9%
a	1588	4.9%
i	1496	4.6%
u	1252	3.8%
Other values (20)	9100	27.8%

Water_Habit
Categorical

Distinct	3
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	44.8 KiB

Between one liter and two liters	364
More than half a liter but less than one liter	352
Less than half a liter	84

Length

Max length	46
Median length	32
Mean length	37.11
Min length	22

Characters and Unicode

Total characters	29688
Distinct characters	19
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Between one liter and two liters
2nd row	Between one liter and two liters
3rd row	More than half a liter but less than one liter
4th row	More than half a liter but less than one liter
5th row	More than half a liter but less than one liter

Common Values

Value	Count	Frequency (%)
Between one liter and two liters	364	45.5%
More than half a liter but less than one liter	352	44.0%
Less than half a liter	84	10.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
liter	1152	18.8%
than	788	12.9%
one	716	11.7%
half	436	7.1%
a	436	7.1%
less	436	7.1%
between	364	5.9%
and	364	5.9%
two	364	5.9%
liters	364	5.9%
Other values (2)	704	11.5%

Most occurring characters

Value	Count	Frequency (%)
	5324	17.9%
e	4112	13.9%
t	3384	11.4%
l	2304	7.8%
n	2232	7.5%
a	2024	6.8%
r	1868	6.3%
i	1516	5.1%
o	1432	4.8%
s	1236	4.2%
Other values (9)	4256	14.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	23564	79.4%
Space Separator	5324	17.9%
Uppercase Letter	800	2.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	4112	17.5%
t	3384	14.4%
l	2304	9.8%
n	2232	9.5%
a	2024	8.6%
r	1868	7.9%
i	1516	6.4%
o	1432	6.1%
s	1236	5.2%
h	1224	5.2%
Other values (5)	2232	9.5%

Uppercase Letter

Value	Count	Frequency (%)
B	364	45.5%
M	352	44.0%
L	84	10.5%

Space Separator

Value	Count	Frequency (%)
	5324	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	24364	82.1%
Common	5324	17.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	4112	16.9%
t	3384	13.9%
l	2304	9.5%
n	2232	9.2%
a	2024	8.3%
r	1868	7.7%
i	1516	6.2%
o	1432	5.9%
s	1236	5.1%
h	1224	5.0%
Other values (8)	3032	12.4%

Common

Value	Count	Frequency (%)
	5324	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	29688	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	5324	17.9%
e	4112	13.9%
t	3384	11.4%
l	2304	7.8%
n	2232	7.5%
a	2024	6.8%
r	1868	6.3%
i	1516	5.1%
o	1432	4.8%
s	1236	4.2%
Other values (9)	4256	14.3%

Disease
Categorical

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	44.8 KiB

1	411
0	389

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	800
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	411	51.4%
0	389	48.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	411	51.4%
0	389	48.6%

Most occurring characters

Value	Count	Frequency (%)
1	411	51.4%
0	389	48.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	800	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	411	51.4%
0	389	48.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	800	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	411	51.4%
0	389	48.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	800	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	411	51.4%
0	389	48.6%

Auto

The auto setting is an interpretable pairwise column metric of the following mapping:

Variable_type-Variable_type : Method, Range
Categorical-Categorical : Cramer's V, [0,1]
Numerical-Categorical : Cramer's V, [0,1] (using a discretized numerical column)
Numerical-Numerical : Spearman's ρ, [-1,1]

The number of bins used in the discretization for the Numerical-Categorical column pair can be changed using config.correlations["auto"].n_bins. The number of bins affects the granularity of the association you wish to measure.

This configuration uses the recommended metric for each pair of columns.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	PatientID	Name	Birth_Year	Region	Education	Height	Weight	Checkup	Diabetes	High_Cholesterol	Blood_Pressure	Mental_Health	Physical_Health	Exercise	Smoking_Habit	Drinking_Habit	Fruit_Habit	Water_Habit	Disease
0	1167	Mrs. Stephanie Gay	1965	London	High School Incomplete (10th to 11th grade)	155	67	More than 3 years	Neither I nor my immediate family have diabetes.	358	120	21	2	Yes	No	I usually consume alcohol every day	Less than 1. I do not consume fruits every day.	Between one liter and two liters	1
1	1805	Mr. Sherman Nero	1969	South West	High School Incomplete (10th to 11th grade)	173	88	Not sure	Neither I nor my immediate family have diabetes.	230	142	9	0	Yes	No	I consider myself a social drinker	Less than 1. I do not consume fruits every day.	Between one liter and two liters	1
2	1557	Mr. Mark Boller	1974	Yorkshire and the Humber	Elementary School (1st to 9th grade)	162	68	More than 3 years	Neither I nor my immediate family have diabetes.	226	122	26	0	No	No	I consider myself a social drinker	Less than 1. I do not consume fruits every day.	More than half a liter but less than one liter	1
3	1658	Mr. David Caffee	1958	London	University Complete (3 or more years)	180	66	Not sure	I have/had pregnancy diabetes or borderline diabetes	313	125	13	8	Yes	No	I usually consume alcohol every day	Less than 1. I do not consume fruits every day.	More than half a liter but less than one liter	0
4	1544	Mr. Gerald Emery	1968	South East	University Incomplete (1 to 2 years)	180	58	More than 3 years	I have/had pregnancy diabetes or borderline diabetes	277	125	18	2	No	No	I consider myself a social drinker	1 to 2 pieces of fruit in average	More than half a liter but less than one liter	1
5	1653	Mr. David Lamothe	1966	East Midlands	NaN	167	49	Not sure	Neither I nor my immediate family have diabetes.	287	130	7	7	Yes	Yes	I consider myself a social drinker	Less than 1. I do not consume fruits every day.	More than half a liter but less than one liter	0
6	1422	Mrs. Patricia Byrne	1965	Yorkshire and the Humber	High School Graduate	158	63	More than 3 years	Neither I nor my immediate family have diabetes.	358	120	21	2	Yes	No	I usually consume alcohol every day	Less than 1. I do not consume fruits every day.	Less than half a liter	1
7	1806	Mr. Wesley Shoemaker	1965	West Midlands	High School Graduate	178	67	Less than 3 years but more than 1 year	Neither I nor my immediate family have diabetes.	280	150	9	2	Yes	No	I consider myself a social drinker	1 to 2 pieces of fruit in average	More than half a liter but less than one liter	0
8	1703	Mr. Billy Kirkland	1965	East of England	High School Graduate	162	63	Less than 3 years but more than 1 year	Neither I nor my immediate family have diabetes.	205	110	12	7	Yes	No	I usually consume alcohol every day	Less than 1. I do not consume fruits every day.	Between one liter and two liters	1
9	1370	Mrs. Tina Morris	1979	East Midlands	High School Graduate	154	51	Not sure	Neither I nor my immediate family have diabetes.	345	132	14	14	Yes	Yes	I consider myself a social drinker	Less than 1. I do not consume fruits every day.	Between one liter and two liters	0

	PatientID	Name	Birth_Year	Region	Education	Height	Weight	Checkup	Diabetes	High_Cholesterol	Blood_Pressure	Mental_Health	Physical_Health	Exercise	Smoking_Habit	Drinking_Habit	Fruit_Habit	Water_Habit	Disease
790	1239	Mrs. Melanie Pope	1960	East of England	University Complete (3 or more years)	154	48	More than 3 years	Neither I nor my immediate family have diabetes.	248	150	19	6	Yes	No	I usually consume alcohol every day	Less than 1. I do not consume fruits every day.	Between one liter and two liters	0
791	1782	Mrs. Kim Kling	1958	North West	University Complete (3 or more years)	157	51	More than 3 years	Neither I nor my immediate family have diabetes.	307	130	11	9	No	No	I usually consume alcohol every day	3 to 4 pieces of fruit in average	More than half a liter but less than one liter	1
792	1695	Mr. Michael Thomas	1987	East Midlands	High School Graduate	171	76	Not sure	Neither I nor my immediate family have diabetes.	286	126	19	0	Yes	No	I consider myself a social drinker	Less than 1. I do not consume fruits every day.	More than half a liter but less than one liter	0
793	1590	Mrs. Crystal Comeaux	1948	London	University Complete (3 or more years)	157	69	More than 3 years	I do have diabetes	273	120	11	0	Yes	No	I consider myself a social drinker	1 to 2 pieces of fruit in average	Less than half a liter	1
794	1912	Mr. Mike Jefferson	1987	Yorkshire and the Humber	High School Graduate	173	74	Not sure	Neither I nor my immediate family have diabetes.	202	120	13	7	Yes	No	I usually consume alcohol every day	Less than 1. I do not consume fruits every day.	Between one liter and two liters	0
795	1909	Mr. Philip Klink	1972	East Midlands	High School Incomplete (10th to 11th grade)	178	61	Not sure	Neither I nor my immediate family have diabetes.	204	144	12	4	Yes	No	I consider myself a social drinker	Less than 1. I do not consume fruits every day.	Between one liter and two liters	0
796	1386	Mrs. Jackie Valencia	1980	North West	Elementary School (1st to 9th grade)	157	61	More than 3 years	I have/had pregnancy diabetes or borderline diabetes	213	120	23	0	No	No	I usually consume alcohol every day	Less than 1. I do not consume fruits every day.	Between one liter and two liters	1
797	1088	Mrs. Cheryl Harris	1860	East Midlands	Elementary School (1st to 9th grade)	167	48	More than 3 years	Neither I nor my immediate family have diabetes.	272	140	20	17	No	No	I consider myself a social drinker	3 to 4 pieces of fruit in average	More than half a liter but less than one liter	0
798	1662	Mr. Florencio Doherty	1975	East of England	Elementary School (1st to 9th grade)	165	75	More than 3 years	Neither I nor my immediate family have diabetes.	208	112	16	0	No	No	I usually consume alcohol every day	Less than 1. I do not consume fruits every day.	More than half a liter but less than one liter	1
799	1117	Mr. Freddie Vermillion	1979	London	Elementary School (1st to 9th grade)	173	70	Not sure	Neither I nor my immediate family have diabetes.	181	120	11	12	Yes	No	I consider myself a social drinker	Less than 1. I do not consume fruits every day.	Less than half a liter	0

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Space Separator

Open Punctuation

Close Punctuation

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Other Punctuation

Uppercase Letter